TIBCO New York City

Wine dinners are exclusive and by invitation only for senior level management in Finance, HR, Sales, Marketing and IT.

Presentation for the Evening

There is a tremendous drive for Financial Services to adopt Machine Learning, Artificial Intelligence and the myriad of Data Science offerings. This against the backdrop of organizations needing to analyze and interpret data at speeds, volumes, and sophistication of context that would have been unimaginable even a few years ago. A successful analytics plan today needs to include more than just the latest algorithm or language to be successful. You need to demonstrate the abilities of capturing data in real-time, providing a high-productivity environments in which your data scientists and technologists work, to connect across a vast array of sources and types, and to scale for tomorrow’s needs.

In this session, we will look at what it takes to satisfy these requirements, against the backdrop of the constant evolution of an organization’s ability to deploy across cloud environments while accessing their data centers, legacy systems, and even mainframes.

TIBCO Host: Rob MacNeill

Rob MacNeill is the Director of Solutions for TIBCO’s Financial Services division. He is responsible for delivering innovative, best-of-breed solutions to TIBCO’s financial services customers.

Rob has been with TIBCO Software for 13 years, combining the knowledge of business and operational issues with expertise and experience in real-time systems, distributed computing, and data engineering. His extensive experience in product development, Rob has designed, architected, and implemented teams through the process of identifying business problems requiring novel and innovative solutions throughout their delivery.

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Agenda

Artificial Intelligence and the myriad of Data Science offerings. In this session we’ll look at what it takes to satisfy these requirements, against the backdrop of the constant evolution of an organization’s ability to deploy across cloud environments while accessing their data centers, legacy systems, and even mainframes.